New Class of Mobile Industrial Robots

A new category of mobile robots -- what Adept Technology is calling an autonomous indoor vehicle (AIV) -- uses a localization and navigation engine to enable self-driving operation in indoor plant and warehousing environments. The technology is designed to allow material handling equipment to behave as mobile robots and to enable lean manufacturing operations.

"With regard to key areas of technology differentiation, most engineers are familiar with how automated guided vehicles operate," Rush LaSelle, vice president and general manager of MobileRobots for Adept Technology, told us.

Many AGVs require beacons or magnets in the floor, so there is an up-front cost associated with modifying the facility for the use of an AGV.
But equally important is that AGVs tend to stay on a fixed path, so if it runs into congestion with other AGVs, or a worker inadvertently left a pallet on the floor, the AGV stops. One of the areas where we can differentiate our AIV technology is its ability to navigate better within the factory.

Adept's new Lynx mobile robot, a self-navigating AIV, is designed to move material from point to point in environments that may include confined passageways and dynamic and peopled locations. The Lynx system supports payloads of up to 60kg, utilizes digital maps for localization,and manages power and self-charging operations.(Source: Adept Technology)

One place this type of mobile robot could make a big impact is in order-picking applications. Companies like Amazon have miles of racking and millions of products. When a customer places an order, it could include a bowling ball from one end of the facility and a toothbrush from the other end. In such a case, an AGV would need to move on a fixed track all the way from one end of the facility (to pick up the bowling ball) to the other. "If you really think about the difference compared to AGVs," LaSelle said, "they are following a bus route, and we are operating like a point-to-point taxicab."

If you take the differentiation one level of abstraction further, Adept has spent a lot of development time on its Enterprise Manager. This software -- effectively middleware on an appliance between robots in a fleet -- would allow companies like Amazon to tell the robots what items are needed and where they need to be delivered.

We do all the management of which robot is available in the closest proximity, which has the best battery charge and is really ideal for the mission at hand. We also do the management of all the traffic between all of them and the queuing. All of that functionality is in a black box that ultimately provides customers a straight conveyance or transfer functionality from an ERP system.

Here are some use cases for manufacturing and warehousing.

Line-side fulfillment: Automating the movement of goods from a warehouse or staging area to an assembly or production line, robots would be used in place of forklifts or handcarts. Mobile platforms would use a small piece of conveyor or a robot to transfer parts or containers on to and off of the vehicle for movement around a facility.

Work piece movement: Complex and large products such as durables or automobiles tend to move linearly on assembly lines. Manufacturers are looking to use robots to move the vehicles to promote flexibility in how assemblies are routed through a plant. For example, an automobile affixed to a large AIV would be routed through cellular manufacturing areas, where either manual or automated processes would be carried out.

Replacing conveyor or overhead transports: In production facilities, parts and batches of parts are frequently moved between machining centers by conveyors or overhead monorail systems. Warehouses -- and especially order fulfillment centers like Amazon's -- must be able to move single piece cases rapidly and with great flexibility. Manufacturers and distributors are investing in cheaper, more flexible solutions for discrete movement of products from racks and storage to the dock and vice versa.

With companies like Google pouring software effort into driverless vehicle technology, maybe they will try to "learn" the environment or maybe link GPS information to their mapping capabilities. They have the $ to do whatever they want, or so it seems.

You are probably right, a.sajl, but maybe at some point there might be a cost effective way to adapt this technology. It will probably be too high at the moment, though, although I do believe a lot of smart people are working on the problem. Then again, I'm fine with the fact that humans still need to be behind the wheel to drive cars!

Elizabeth: That would be great but the cost too will be very high for sure. I also feel that if we can embed some AI features to these atuomobiles, it would be something which might facinate the world. It will definitely be a new things for sure but it will also allow the companies to think beyond the box.

Thanks for the info! So it is specific to this application and that might be difficult to apply to the unpredictability and varibability of a car's environment. But you never know...the people inventing these robots are quite clever and could find a way.

Ann, Medical is a target for this technology. Potential applications include deployment into hospitals in the form of a courier, such as a nurse that needs to get medication from a pharmacy up to the patient's ward. The pharmacist would place it into one of the units, and even have it go up on an elevator to the patient's room. That saves the highly trained clinician that time to transfer the product.

Ann, Medical applications are part of the target for this technology. Applications include deployment into hospitals in the form of a courier, such as a nurse that needs to get medication from a pharmacy up to the patient's ward. The pharmacist would place it into one of the units, and even have it go up on an elevator to the patient's room. That saves the highly trained clinician that time to transfer the product.

This reminds me of a fun robot that I worked on in the early 1990's. It was a kind of "tug" or autonomous tractor that pulled trailers loaded with material from A to B in a factory. It was Laser guided and had the usual Ultrasonic proximity detectors for object aviodance. It triangulated it's position every few milliseconds and so could go "off path". The task was to back up and dock with a full trailer at point A, haul it to the drop off point B, release it, then pickup an empty trailer and haul it back to point A. Then repeat with a nother full trailer. The payload was several 1,000 BIC pen barrels for assembly. Very reliable.

From time to time, I see AGV's in industrial environments, but they do not seem to have taken off like the ATM machine, kiosks, etc. What are (or will) some applications be that will really make AGV's become a mainstream part of the workforce?

It won't be too much longer and hardware design, as we used to know it, will be remembered alongside the slide rule and the Karnaugh map. You will need to move beyond those familiar bits and bytes into the new world of software centric design.

People who want to take advantage of solar energy in their homes no longer need to install a bolt-on solar-panel system atop their houses -- they can integrate solar-energy-harvesting shingles directing into an existing or new roof instead.

Kaspersky Labs indicated at its February meeting that cyber attacks are far more sophisticated than previous thought. It turns out even air-gapping (disconnecting computers from the Internet to protect against cyber intrusion) isn’t a foolproof way to avoid getting hacked. And Kaspersky implied the NSA is the smartest attacker.

Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.